{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:JGNSA4FMP2TQSNS6ELZOYSIEOG","short_pith_number":"pith:JGNSA4FM","canonical_record":{"source":{"id":"2303.16604","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2023-03-29T11:37:41Z","cross_cats_sorted":["cs.IR","cs.LG"],"title_canon_sha256":"841b65a562f8738466a3bebeb54b97e342086ec9554401d7ca51b1e193569464","abstract_canon_sha256":"16673b35165cd3eff085392adaec579c9d6c48d51ea517adcaa1c8efcbcfd257"},"schema_version":"1.0"},"canonical_sha256":"499b2070ac7ea709365e22f2ec490471af8e45b1080d8e0636e6a1a98af2eca6","source":{"kind":"arxiv","id":"2303.16604","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.16604","created_at":"2026-07-05T07:08:55Z"},{"alias_kind":"arxiv_version","alias_value":"2303.16604v2","created_at":"2026-07-05T07:08:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.16604","created_at":"2026-07-05T07:08:55Z"},{"alias_kind":"pith_short_12","alias_value":"JGNSA4FMP2TQ","created_at":"2026-07-05T07:08:55Z"},{"alias_kind":"pith_short_16","alias_value":"JGNSA4FMP2TQSNS6","created_at":"2026-07-05T07:08:55Z"},{"alias_kind":"pith_short_8","alias_value":"JGNSA4FM","created_at":"2026-07-05T07:08:55Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:JGNSA4FMP2TQSNS6ELZOYSIEOG","target":"record","payload":{"canonical_record":{"source":{"id":"2303.16604","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2023-03-29T11:37:41Z","cross_cats_sorted":["cs.IR","cs.LG"],"title_canon_sha256":"841b65a562f8738466a3bebeb54b97e342086ec9554401d7ca51b1e193569464","abstract_canon_sha256":"16673b35165cd3eff085392adaec579c9d6c48d51ea517adcaa1c8efcbcfd257"},"schema_version":"1.0"},"canonical_sha256":"499b2070ac7ea709365e22f2ec490471af8e45b1080d8e0636e6a1a98af2eca6","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:08:55.913872Z","signature_b64":"B+g1wZqlSTbbcBuxgQzt6a/PBD7m4+0y3WgQcJtRkhMbMbUVFOJo2ez1jiAFGwAjEVBj3SqrAgeaMVZFuUIsDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"499b2070ac7ea709365e22f2ec490471af8e45b1080d8e0636e6a1a98af2eca6","last_reissued_at":"2026-07-05T07:08:55.913166Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:08:55.913166Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2303.16604","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:08:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JJ6ffHrFXh1wUJCTfM6cYS17bExNEctf1MdayI7jIgURpxd2t54+Vq5qKfXjfLHlOxi4tBz4pn7hrOs//SXUAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T17:24:37.605108Z"},"content_sha256":"f2422a33bf2179f1ad09fc9a9ee544566f3e915c6e5d64504bd953a1068bf70a","schema_version":"1.0","event_id":"sha256:f2422a33bf2179f1ad09fc9a9ee544566f3e915c6e5d64504bd953a1068bf70a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:JGNSA4FMP2TQSNS6ELZOYSIEOG","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Bi-directional Training for Composed Image Retrieval via Text Prompt Learning","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.IR","cs.LG"],"primary_cat":"cs.CV","authors_text":"Damien Teney, Stephen Gould, Weixuan Sun, Yicong Hong, Zheyuan Liu","submitted_at":"2023-03-29T11:37:41Z","abstract_excerpt":"Composed image retrieval searches for a target image based on a multi-modal user query comprised of a reference image and modification text describing the desired changes. Existing approaches to solving this challenging task learn a mapping from the (reference image, modification text)-pair to an image embedding that is then matched against a large image corpus. One area that has not yet been explored is the reverse direction, which asks the question, what reference image when modified as described by the text would produce the given target image? In this work we propose a bi-directional train"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.16604","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2303.16604/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:08:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"G2SJg2RkUnzbMIT9pY5B0kCcPSjo88lsu8UlyjAokNrrTWn4hzbx5pcHjKipnyiTBCrPBPGb/C9TcxJmOvRUDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T17:24:37.605514Z"},"content_sha256":"e4474880c8940a925ce13f788e0fefacf725124de6b3403477a0af1d7378a9d3","schema_version":"1.0","event_id":"sha256:e4474880c8940a925ce13f788e0fefacf725124de6b3403477a0af1d7378a9d3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JGNSA4FMP2TQSNS6ELZOYSIEOG/bundle.json","state_url":"https://pith.science/pith/JGNSA4FMP2TQSNS6ELZOYSIEOG/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JGNSA4FMP2TQSNS6ELZOYSIEOG/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-07-06T17:24:37Z","links":{"resolver":"https://pith.science/pith/JGNSA4FMP2TQSNS6ELZOYSIEOG","bundle":"https://pith.science/pith/JGNSA4FMP2TQSNS6ELZOYSIEOG/bundle.json","state":"https://pith.science/pith/JGNSA4FMP2TQSNS6ELZOYSIEOG/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JGNSA4FMP2TQSNS6ELZOYSIEOG/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:JGNSA4FMP2TQSNS6ELZOYSIEOG","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"16673b35165cd3eff085392adaec579c9d6c48d51ea517adcaa1c8efcbcfd257","cross_cats_sorted":["cs.IR","cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2023-03-29T11:37:41Z","title_canon_sha256":"841b65a562f8738466a3bebeb54b97e342086ec9554401d7ca51b1e193569464"},"schema_version":"1.0","source":{"id":"2303.16604","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2303.16604","created_at":"2026-07-05T07:08:55Z"},{"alias_kind":"arxiv_version","alias_value":"2303.16604v2","created_at":"2026-07-05T07:08:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.16604","created_at":"2026-07-05T07:08:55Z"},{"alias_kind":"pith_short_12","alias_value":"JGNSA4FMP2TQ","created_at":"2026-07-05T07:08:55Z"},{"alias_kind":"pith_short_16","alias_value":"JGNSA4FMP2TQSNS6","created_at":"2026-07-05T07:08:55Z"},{"alias_kind":"pith_short_8","alias_value":"JGNSA4FM","created_at":"2026-07-05T07:08:55Z"}],"graph_snapshots":[{"event_id":"sha256:e4474880c8940a925ce13f788e0fefacf725124de6b3403477a0af1d7378a9d3","target":"graph","created_at":"2026-07-05T07:08:55Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2303.16604/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Composed image retrieval searches for a target image based on a multi-modal user query comprised of a reference image and modification text describing the desired changes. Existing approaches to solving this challenging task learn a mapping from the (reference image, modification text)-pair to an image embedding that is then matched against a large image corpus. One area that has not yet been explored is the reverse direction, which asks the question, what reference image when modified as described by the text would produce the given target image? In this work we propose a bi-directional train","authors_text":"Damien Teney, Stephen Gould, Weixuan Sun, Yicong Hong, Zheyuan Liu","cross_cats":["cs.IR","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2023-03-29T11:37:41Z","title":"Bi-directional Training for Composed Image Retrieval via Text Prompt Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.16604","kind":"arxiv","version":2},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:f2422a33bf2179f1ad09fc9a9ee544566f3e915c6e5d64504bd953a1068bf70a","target":"record","created_at":"2026-07-05T07:08:55Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"16673b35165cd3eff085392adaec579c9d6c48d51ea517adcaa1c8efcbcfd257","cross_cats_sorted":["cs.IR","cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2023-03-29T11:37:41Z","title_canon_sha256":"841b65a562f8738466a3bebeb54b97e342086ec9554401d7ca51b1e193569464"},"schema_version":"1.0","source":{"id":"2303.16604","kind":"arxiv","version":2}},"canonical_sha256":"499b2070ac7ea709365e22f2ec490471af8e45b1080d8e0636e6a1a98af2eca6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"499b2070ac7ea709365e22f2ec490471af8e45b1080d8e0636e6a1a98af2eca6","first_computed_at":"2026-07-05T07:08:55.913166Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:08:55.913166Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"B+g1wZqlSTbbcBuxgQzt6a/PBD7m4+0y3WgQcJtRkhMbMbUVFOJo2ez1jiAFGwAjEVBj3SqrAgeaMVZFuUIsDw==","signature_status":"signed_v1","signed_at":"2026-07-05T07:08:55.913872Z","signed_message":"canonical_sha256_bytes"},"source_id":"2303.16604","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f2422a33bf2179f1ad09fc9a9ee544566f3e915c6e5d64504bd953a1068bf70a","sha256:e4474880c8940a925ce13f788e0fefacf725124de6b3403477a0af1d7378a9d3"],"state_sha256":"de9787fb03f5242f3cf9c5a97c451dcb85fed0ac569e2fb28cb1314442433e65"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dJBubm0BTYFztzAY8h9g5463dQ7EeeGlcv/YmTXbS64JYg6hrLNTOlt98fGqUsFtmOa/Kg4Vr2PayMH7UaWqBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T17:24:37.607611Z","bundle_sha256":"c84feda52011fed8f4fbd8bef0d1804e1dcd8112ac61412329aa2a6cb17a6367"}}